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<h1>im
</h1>

<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>IM [2D] Function for displaying grayscale images.</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function im( I, range ); </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment">IM [2D] Function for displaying grayscale images.

 Handy function for showing a grayscale image with a colorbar and interactive pixel value
 tool.

 INPUTS
   I       - image in a valid format
   range   - [optional] minval/maxval for imagesc

 EXAMPLE
   load clown
   im( X )

 DATESTAMP
   29-Sep-2005  2:00pm

 See also IMSHOW, IMVIEW</pre></div>

<!-- crossreference -->
<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
</ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="../classify/distmatrix_show.html" class="code" title="function distmatrix_show( D, IDX )">distmatrix_show</a>	Useful visualization of a distance matrix of clustered points.</li><li><a href="../classify/meanshiftim_explore.html" class="code" title="function meanshiftim_explore( I, X, sig_spt, sig_rng, show )">meanshiftim_explore</a>	Visualization to help choose sigmas for meanshiftim.</li><li><a href="../classify/pca_visualize.html" class="code" title="function varargout = pca_visualize( U, mu, variances, X, index, ks, filename, show )">pca_visualize</a>	Visualization of quality of approximation of X given principal components.</li><li><a href="../filters/FB_apply_2D.html" class="code" title="function IF = FB_apply_2D( I, FB, shape, show )">FB_apply_2D</a>	Applies each of the filters in the filterbank FB to the image I.</li><li><a href="../filters/FB_reconstruct_2D.html" class="code" title="function I2 = FB_reconstruct_2D( I, FB )">FB_reconstruct_2D</a>	Use to see how much image information is preserved in filter outputs.</li><li><a href="../filters/FB_visualize_2D.html" class="code" title="function FB_visualize_2D( FB )">FB_visualize_2D</a>	Used to visualize the Fourier spectra of a series of 2D filters.</li><li><a href="../filters/filter_gauss_nD.html" class="code" title="function G = filter_gauss_nD( dims, mu, C, show )">filter_gauss_nD</a>	n-dimensional Gaussian filter.</li><li><a href="../filters/filter_steerable.html" class="code" title="function filter_steerable( theta )">filter_steerable</a>	Steerable Gaussian derivative filter.</li><li><a href="../filters/filter_visualize_2D.html" class="code" title="function filter_visualize_2D( F, plotline )">filter_visualize_2D</a>	Used to help visualize a 2D filter.</li><li><a href="apply_homography.html" class="code" title="function IR = apply_homography( I, H, method, bbox, show )">apply_homography</a>	Applies the homography defined by H on the image I.</li><li><a href="imageMLG.html" class="code" title="function varargout = imageMLG( G, symmFlag, show )">imageMLG</a>	Calculates maximum likelihood parameters of gaussian that gave rise to image G.</li><li><a href="mask_gaussians.html" class="code" title="function [masks,keeplocs] = mask_gaussians( siz, M, windowwidth, offset, show )">mask_gaussians</a>	Divides a volume into softly overlapping gaussian windows.</li><li><a href="optflow_corr.html" class="code" title="function [Vx,Vy,reliab] = optflow_corr( I1, I2, patch_r, search_r, sigma, thr, show )">optflow_corr</a>	Calculate optical flow using cross-correlation.</li><li><a href="optflow_horn.html" class="code" title="function [Vx,Vy] = optflow_horn( I1, I2, sigma, show )">optflow_horn</a>	Calculate optical flow using Horn & Schunck.</li><li><a href="optflow_lucaskanade.html" class="code" title="function [Vx,Vy,reliab]=optflow_lucaskanade( I1, I2, win_n, win_sig, sigma, thr, show )">optflow_lucaskanade</a>	Calculate optical flow using Lucas & Kanade.  Fast, parallel code.</li></ul>
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